Ametropia treatment tracking methods and system

Patent metadata

Field	Value
Publication number	US-2018228364-A1
Application number	US-201815952335-A
Country	US
Kind code	A1
Filing date	Apr 13, 2018
Priority date	Jan 27, 2016
Publication date	Aug 16, 2018
Grant date	—

Abstract

A system, method and computer program product for estimating future axial elongation of an individual's eye as a way to predict and track refractive error progression of an individual. The method includes: receiving, via a computer interface, data relating to refractive change in a prior pre-determined time period for the individual from a reference timepoint; receiving data representing an age of the individual and data representing a current axial length value of the eye as measured at the reference timepoint; calculating, by said processor, a future axial elongation of the eye as a function of the age of the individual, the current axial length value of the eye as measured at the reference timepoint, and the refractive change in the prior pre-determined time period; generating, an output indication of said computed axial elongation of the eye, and using said output indication to select a myopia control treatment for said individual.

First claim

What is claimed is:

1 . A computer-implemented method for treating myopia of an individual comprising:
receiving, via an interface at a computer, data relating to refractive change in a prior pre-determined time period for the individual from a reference timepoint; receiving, via the interface, data representing an age of the individual and data representing a current axial length value of the eye as measured at the reference timepoint; predicting, by said processor, a future axial elongation of the eye as a function of the age of the individual, the current axial length value of the eye as measured at the reference timepoint, and said refractive change in the prior pre-determined time period; generating, an output indication of said predicted future axial elongation of the eye via the interface, and using said output indication to select a myopia control treatment for said individual.

2 . The computer-implemented method of claim 1 , further comprising:
receiving data relating to past refractive changes for the individual; and calculating, from said past refractive changes data, a progression rate of change of refractive changes for the individual; and annualizing the computed rate of change to obtain the refractive change for a past year.

3 . The computer-implemented method of claim 1 , wherein said myopia control treatment comprises a myopia control ophthalmic lens, an orthokeratology or a pharmaceutical treatment regime.

4 . The computer-implemented method of claim 1 , wherein the myopia control ophthalmic lens comprises a myopia control contact lens.

5 . The computer-implemented method of claim 1 , further comprising:
comparing, by said processor, the calculated future axial elongation of the eye against a predetermined threshold value; and said processor identifying an individual to be a fast progressor when said calculated axial elongation of the eye is greater than said predetermined threshold value.

6 . The computer-implemented method of claim 5 , wherein said predetermined threshold value is about 0.301 mm/yr.

7 . The computer-implemented method of claim 2 , wherein said calculated axial elongation of the eye is a value ΔAL, said method comprising calculating ΔAL according to:
Δ AL=a ×RECIPY (D)− b ×age+ c ×axial length− d

wherein a, b and c are respective coefficients; d is a constant value in mm, RECIPY represents said refractive change in Diopters (D), age represents an individual's age in years, and axial length is in mm.

8 . The computer-implemented method of claim 7 , wherein a=−0.12051+/−0.05162 (mm/D); coefficient value b=0.03954+/−0.00323 (mm/yr); coefficient value c=0.036819+/−0.001098; and value d=0.35111 (mm)+/−0.025809.

9 . A computer system for treating myopia of an individual comprising:
a memory for storing instructions; and a processor coupled to the memory, said processor running said stored instructions to:
receive, via an interface at the server, data relating to refractive change in a prior pre-determined time period for the individual from a reference timepoint;
receive, via the interface, data representing an age of the individual and data representing a current axial length value of the eye as measured at the reference timepoint;
predict a future axial elongation of the eye as a function of the age of the individual, the current axial length value of the eye as measured at the reference timepoint, and said refractive change in the prior pre-determined time period;
generate an output indication of said predicted future axial elongation of the eye via the interface, and
use said output indication to select a myopia control treatment for said individual.

10 . The computer system of claim 9 , wherein the stored instructions further configure the processor to:
receive data relating to past refractive changes for the individual; and calculate, from said past refractive changes data, a progression rate of change of refractive changes for the individual; and annualize the computed rate of change to obtain the refractive change for a past year.

11 . The computer system of claim 9 , wherein said myopia control treatment comprises one or more of: a myopia control ophthalmic lens, a myopia control contact lens, and a soft contact lens, an orthokeratology or a pharmaceutical treatment regime.

12 . The computer system of claim 9 , wherein said processor runs further instructions to:
compare the calculated axial elongation of the eye against a predetermined threshold value; and identify an individual to be a fast progressor when said calculated axial elongation of the eye is greater than said predetermined threshold value; and select a myopia control treatment for said fast progressor.

13 . The computer system of claim 9 , wherein said calculated axial elongation of the eye is a value ΔAL, said processor running further instructions to: calculate ΔAL according to:
Δ AL=a ×RECIPY (D)− b ×age+ c ×axial length− d

wherein a, b and c are respective coefficients; d is a constant value in mm, RECIPY represents said refractive change in Diopters, age represents an individual's age in years, and axial length is in mm.

14 . The computer system of claim 13 , wherein a=−0.12051+/−0.05162 (mm/D); coefficient value b=0.03954+/−0.00323 (mm/yr); coefficient value c=0.036819+/−0.001098; and value d=0.35111 (mm)+/−0.025809.

15 . A computer program product for treating myopia of an individual, the computer program product comprising a non-transitory computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to perform a method comprising:
receiving, via an interface at a computer, data relating to refractive change in a prior pre-determined time period for the individual from a reference timepoint; receiving, via the interface, data representing an age of the individual and data representing a current axial length value of the eye as measured at the reference timepoint; predicting, by said processor, a future axial elongation of the eye as a function of the age of the individual, the current axial length value of the eye as measured at the reference timepoint, and said refractive change in the prior pre-determined time period; and generating, an output indication of said predicted future axial elongation of the eye via the interface, and using said output indication to select a myopia control treatment for said individual.

16 . The computer program product of claim 15 , wherein said program instructions further configure said processor to perform:
receiving data relating to past refractive changes for the individual; and calculating, from said past refractive changes data, a progression rate of change of refractive changes for the individual; and annualizing the computed rate of change to obtain the refractive change for a past year.

17 . The computer program product of claim 15 , wherein said myopia control treatment comprises a myopia control ophthalmic lens, an orthokeratology or a pharmaceutical treatment regime.

18 . The computer program product of claim 15 , wherein the myopia control ophthalmic lens comprises a myopia control contact lens.

19 . The computer program product of claim 15 , wherein said computed said axial elongation of the eye is a value ΔAL, said method comprising calculating ΔAL according to:
Δ AL=a ×RECIPY (D)− b ×age+ c ×axial length− d

wherein a, b and c are respective coefficients; d is a constant value in mm, RECIPY represents said r

Assignees

• Johnson & Johnson Vision Care

Inventors

• Brennan Noel A
• Cheng Xu

Classifications

• A61B3/103

  for determining refraction, e.g. refractometers, skiascopes · CPC title

• G16H20/40

  relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture · CPC title

• G02C7/047

  Contact lens fitting; Contact lenses for orthokeratology; Contact lenses for specially shaped corneae · CPC title

• G02C2202/24

  Myopia progression prevention · CPC title

• G16H50/20

  for computer-aided diagnosis, e.g. based on medical expert systems · CPC title